Sequential nonlinear learning for distributed multiagent systems via extreme learning machines ND Vanli, MO Sayin, I Delibalta, SS Kozat IEEE transactions on neural networks and learning systems 28 (3), 546-558, 2017 | 38 | 2017 |
Online Anomaly Detection With Nested Trees I Delibalta, K Gokcesu, M Simsek, L Baruh, SS Kozat IEEE Signal Processing Letters 23 (12), 1867-1871, 2016 | 26 | 2016 |
Online text classification for real life tweet analysis E Yar, İ Delibalta, L Baruh, SS Kozat Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016 | 7 | 2016 |
Optimal and efficient distributed online learning for big data MO Sayin, ND Vanli, I Delibalta, SS Kozat Big Data (BigData Congress), 2015 IEEE International Congress on, 126-133, 2015 | 7 | 2015 |
Efficient NP tests for anomaly detection over birth-death type DTMCs H Ozkan, F Ozkan, I Delibalta, SS Kozat Journal of Signal Processing Systems 90 (2), 175-184, 2018 | 6 | 2018 |
Hashing assist for network processors ET Cohen, I Delibalta, J Rosen US Patent 7,657,654, 2010 | 5 | 2010 |
Highly efficient hierarchical online nonlinear regression using second order methods BC Civek, I Delibalta, SS Kozat Signal Processing 137, 22-32, 2017 | 2 | 2017 |
Highly efficient nonlinear regression for big data with lexicographical splitting MM Neyshabouri, O Demir, I Delibalta, SS Kozat Signal, Image and Video Processing 11 (3), 391-398, 2017 | 2 | 2017 |
Online churn detection on high dimensional cellular data using adaptive hierarchical trees F Khan, I Delibalta, SS Kozat Signal Processing Conference (EUSIPCO), 2016 24th European, 2275-2279, 2016 | 2 | 2016 |
Adaptive hierarchical space partitioning for online classification OF Kilic, ND Vanli, H Ozkan, I Delibalta, SS Kozat Signal Processing Conference (EUSIPCO), 2016 24th European, 2290-2294, 2016 | 2 | 2016 |
Big data signal processing using boosted RLS algorithm BC Civek, D Kari, İ Delibalta, SS Kozat Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016 | 2 | 2016 |
An Online Causal Inference Framework for Modeling and Designing Systems Involving User Preferences: A State-Space Approach I Delibalta, L Baruh, SS Kozat Journal of Electrical and Computer Engineering 2017, 2017 | 1 | 2017 |
Boosted LMS-based piecewise linear adaptive filters D Kari, I Marivani, I Delibalta, SS Kozat Signal Processing Conference (EUSIPCO), 2016 24th European, 1593-1597, 2016 | 1 | 2016 |
Online anomaly detection with constant false alarm rate H Ozkan, F Ozkan, I Delibalta, SS Kozat Machine Learning for Signal Processing (MLSP), 2015 IEEE 25th International …, 2015 | 1 | 2015 |
Computationally highly efficient mixture of adaptive filters OF Kilic, MO Sayin, I Delibalta, SS Kozat Signal, Image and Video Processing 11 (2), 235-242, 2017 | | 2017 |
Piecewise linear regression based on adaptive tree structure using second order methods BC Civek, I Delibalta, SS Kozat Signal Processing Conference (EUSIPCO), 2016 24th European, 2445-2449, 2016 | | 2016 |
Online adaptive hierarchical space partitioning classifier OF Kılıç, ND Vanlı, H Özkan, İ Delibalta, SS Kozat Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016 | | 2016 |
Mixture of set membership filters approach for big data signal processing OF Kılıç, MÖ Sayın, İ Delibalta, SS Kozat Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016 | | 2016 |
Nonlinear regression using second order methods BC Civek, İ Delibalta, SS Kozat Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016 | | 2016 |
Mathematical model of causal inference in Social Networks M Simsek, I Delibalta, L Baruh, SS Kozat Signal Processing and Communication Application Conference (SIU), 2016 24th …, 2016 | | 2016 |